An RL agent learns to actively explore by being rewarded for inferring unobserved scene parts after short glimpse sequences, with sidekick policy learning enabling generalization to other active perception tasks.
Spherenet: Learn- ing spherical representations for detection and classification in omnidirectional images
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Emergence of Exploratory Look-Around Behaviors through Active Observation Completion
An RL agent learns to actively explore by being rewarded for inferring unobserved scene parts after short glimpse sequences, with sidekick policy learning enabling generalization to other active perception tasks.